{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ***Introduction to Radar Using Python and MATLAB***\n",
    "## Andy Harrison - Copyright (C) 2019 Artech House\n",
    "<br/>\n",
    "\n",
    "# Jammer to Signal Ratio\n",
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The jammer to signal ratio for either escort or self-screening type jammers may be written as (Equation 11.17)\n",
    "\n",
    "$$\n",
    "    \\frac{J}{S} = \\frac{{ERP}\\, \\,  G_r\\, 4 \\,\\pi \\,r_{t}^4 \\,B_r \\,L_r}{P_t \\,G_{t}^2 \\,\\sigma\\, r_j^2\\, B_j}.\n",
    "$$\n",
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Begin by getting the library path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import lib_path"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set the target range (m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "target_range = [10e3, 50e3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use the `linspace` routine from `scipy` to set up the target range array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from numpy import linspace\n",
    "\n",
    "target_range_vector = linspace(float(target_range[0]), float(target_range[1]), 1000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set the peak power (W), antenna gain (dB), target RCS (dBsm), jammer range (m), jammer bandwidth (Hz), ERP (dBW), target_range (m), radar bandwidth (Hz), losses (dB), and antenna gain in the direction of the jammer (dB)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "peak_power = 1e6\n",
    "\n",
    "antenna_gain = 23.0\n",
    "\n",
    "target_rcs = -10.0\n",
    "\n",
    "jammer_bandwidth = 50e6\n",
    "\n",
    "effective_radiated_power = 5.0\n",
    "\n",
    "radar_bandwidth = 25e6\n",
    "\n",
    "losses = 2.0\n",
    "\n",
    "antenna_gain_jammer_direction = 5.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set up the keyword args"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "kwargs = {'peak_power': peak_power,\n",
    "\n",
    "          'antenna_gain': 10 ** (antenna_gain / 10.0),\n",
    "\n",
    "          'target_rcs': 10 ** (target_rcs / 10.0),\n",
    "\n",
    "          'jammer_range': target_range_vector,\n",
    "\n",
    "          'jammer_bandwidth': jammer_bandwidth,\n",
    "\n",
    "          'effective_radiated_power': 10 ** (effective_radiated_power / 10.0),\n",
    "\n",
    "          'target_range': target_range_vector,\n",
    "\n",
    "          'radar_bandwidth': radar_bandwidth,\n",
    "\n",
    "          'losses': 10 ** (losses / 10.0),\n",
    "\n",
    "          'antenna_gain_jammer_direction': 10 ** (antenna_gain_jammer_direction / 10.0)}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculate the jammer to signal ratio using the `jammer_to_signal` routine from `countermeasures`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from Libs.ecm.countermeasures import jammer_to_signal\n",
    "\n",
    "jsr = jammer_to_signal(**kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import the `matplotlib` routines for displaying the jammer to signal ration for a self-screening jammer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import the `log10` routine from `scipy` for displaying the jammer to signal ratio in deciBels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from numpy import log10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set the figure size\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = (15, 10) \n",
    "    \n",
    "plt.plot(target_range_vector / 1e3, 10 * log10(jsr), '')\n",
    "\n",
    "\n",
    "# Set the plot title and labels\n",
    "\n",
    "plt.title('Jammer to Signal Ratio', size=14)\n",
    "\n",
    "plt.xlabel('Target Range (km)', size=12)\n",
    "\n",
    "plt.ylabel('Jammer to Signal Ratio (dB)', size=12)\n",
    "\n",
    "\n",
    "# Turn on the grid\n",
    "\n",
    "plt.grid(linestyle=':', linewidth=0.5)\n",
    "\n",
    "\n",
    "# Set the tick label size\n",
    "\n",
    "plt.tick_params(labelsize=12)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set the jammer range (m) for an escort type jammer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "jammer_range = 1e3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set up the keyword args"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "kwargs = {'peak_power': peak_power,\n",
    "\n",
    "          'antenna_gain': 10 ** (antenna_gain / 10.0),\n",
    "\n",
    "          'target_rcs': 10 ** (target_rcs / 10.0),\n",
    "\n",
    "          'jammer_range': jammer_range,\n",
    "\n",
    "          'jammer_bandwidth': jammer_bandwidth,\n",
    "\n",
    "          'effective_radiated_power': 10 ** (effective_radiated_power / 10.0),\n",
    "\n",
    "          'target_range': target_range_vector,\n",
    "\n",
    "          'radar_bandwidth': radar_bandwidth,\n",
    "\n",
    "          'losses': 10 ** (losses / 10.0),\n",
    "\n",
    "          'antenna_gain_jammer_direction': 10 ** (antenna_gain_jammer_direction / 10.0)}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculate the jammer to signal ratio for the escort type jammer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "jsr = jammer_to_signal(**kwargs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set the figure size\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = (15, 10) \n",
    "    \n",
    "plt.plot(target_range_vector / 1e3, 10 * log10(jsr), '')\n",
    "\n",
    "\n",
    "# Set the plot title and labels\n",
    "\n",
    "plt.title('Jammer to Signal Ratio', size=14)\n",
    "\n",
    "plt.xlabel('Target Range (km)', size=12)\n",
    "\n",
    "plt.ylabel('Jammer to Signal Ratio (dB)', size=12)\n",
    "\n",
    "\n",
    "# Turn on the grid\n",
    "\n",
    "plt.grid(linestyle=':', linewidth=0.5)\n",
    "\n",
    "\n",
    "# Set the tick label size\n",
    "\n",
    "plt.tick_params(labelsize=12)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
